Stanford University
Showing 5,651-5,660 of 7,777 Results
-
Vishnu Ravi
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Vishnu Ravi combines his expertise as a board-certified, practicing internal medicine physician, senior software engineer, and board-certified clinical informaticist to create transformative solutions for healthcare.
As the Technology Architect for Stanford Medicine Catalyst, the Stanford School of Medicine's flagship innovation program, he designs, develops, and implements innovations including AI-driven platforms for Parkinson's care, chronic cardiovascular disease management, and precision pharmacogenomics that are helping patients receive more personalized and effective care.
At the Stanford Mussallem Center for Biodesign, Vishnu helps lead the center's digital health initiatives spanning education, research, and translation. To support this work, he co-founded Stanford Spezi, an open-source framework and ecosystem for building modular, standards-based digital health solutions that is now used by leading healthcare institutions and companies worldwide.
Vishnu also instructs Stanford's CS342/MED253 Building for Digital Health, an innovative course that brings together computer science, engineering, and medical students with clinical faculty to develop real-world healthcare applications. In 2025, he helped lead the international expansion of this program, with a successful launch at Chalmers University of Technology and University of Gothenburg in Sweden. He is also deeply involved in the effort to weave AI into the medical school curriculum at Stanford.
Vishnu's entrepreneurial experience includes co-founding a TechStars-backed startup and developing COVID-19 solutions deployed internationally. He has pioneered clinical AI applications, creating conversational agents and advanced analytics for unstructured health data, while contributing to international mobile health data standards. He serves as a technical consultant to companies including Google and speaks regularly at industry conferences.
Alongside his technology work, Vishnu maintains his connection to clinical practice as an Internal Medicine physician providing comprehensive primary care to a diverse patient population at Stanford Health Care. -
Jennifer L. Raymond
Berthold and Belle N. Guggenhime Professor
Current Research and Scholarly InterestsWe study the neural mechanisms of learning, using a combination of behavioral, neurophysiological, and computational approaches. The model system we use is a form of cerebellum-dependent learning that regulates eye movements.
-
Babak Razavi, MD, PhD
Clinical Associate Professor, Adult Neurology
BioDr. Razavi's clinical interests are in medically refractory epilepsies and using high density EEG (electroencephalogram) for better localization of seizure foci. His research areas include using advanced digital signal processing and engineering techniques for analyzing EEG and using seizures as a model for understanding consciousness.
Dr. Razavi is the Founder and Director of DEL - Distributed EEG Lab. DEL's vision is to make EEG easy as 1, 2, 3. We turn complexity into simplicity. We are distributed in time and space. DEL was founded in the spirit of cloud computing, networking, and the notion that research in collaboration is more exciting and fruitful than in isolation. Everyone contributes - no matter how small; everyone wins - no matter how big. It was inspired by the mentorship of Dr. Kimford Meador and Dr. Robert Fisher. All you need is access to a computer and the internet.
DEL is the ideal collaborative environment for students (undergraduate and graduate) and faculty who would like to: (1) apply ready-to-use advanced analytical techniques to test specific hypotheses in cognition, neuroscience and epilepsy, and (2) develop and test new algorithms for analyzing EEG and other biological signals. -
Christopher Re
Professor of Computer Science
Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.